Application of Far-Gather Seismic Attributes in Suppressing the Interference of Coal Beds in Reservoir Prediction

Yunxin Mao, Chunjing Yan, Ruoyu Zhang, Yangsen Li, Min Lou, Luxing Dou, Xinrui Zhou and Xixin Wang
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Yunxin Mao: Shanghai Branch of CNOOC China Limited, Changning District, Shanghai 200050, China
Chunjing Yan: School of Geosciences, Yangtze University, Wuhan 430100, China
Ruoyu Zhang: Shanghai Branch of CNOOC China Limited, Changning District, Shanghai 200050, China
Yangsen Li: Shanghai Branch of CNOOC China Limited, Changning District, Shanghai 200050, China
Min Lou: Shanghai Branch of CNOOC China Limited, Changning District, Shanghai 200050, China
Luxing Dou: School of Geosciences, Yangtze University, Wuhan 430100, China
Xinrui Zhou: School of Geosciences, Yangtze University, Wuhan 430100, China
Xixin Wang: School of Geosciences, Yangtze University, Wuhan 430100, China

Energies, 2022, vol. 15, issue 6, 1-15

Abstract: The sandstone reservoir of the Pinghu Formation in the Xihu Depression, East China Sea is characterized by great depth, small thickness, radical facies change and a widespread coal bed. It is difficult to describe the reservoir accurately using conventional reservoir prediction methods. In order to analyze the influence of coal-bearing strata on the prediction of the mid-low thickness sandstone reservoir, the seismic response of different sandstone–coal stratigraphic assemblages was simulated by seismic forward modeling. The modeling result indicates that the post-stack seismic response is dominated by coal bed, whereas the response of sandstone can hardly be recognized. In contrast, the difference between the pre-stack AVO (amplitude versus offset) response characteristics of coal seams and gas-bearing sandstones has been clarified based on the statistics pertaining to AVO characteristics of drilled wells. Therefore, we propose a method to reduce the interference of coal beds in sandstone reservoir prediction using far-gather seismic information. This method has significantly improved the accuracy of reservoir prediction and sand description in sand–coal coupled environments and has been applied successfully in the exploration of coal-rich strata in the Pingbei slope belt, Xihu Depression.

Keywords: coal strata; seismic response; pre-stack AVO forward; dominant far-offset; reservoir prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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